Memorial Hospital is using new advanced technology when it comes to X-rays. It is the first hospital in northern Indiana to ...

Hospitals are automating repetitive and rule-based tasks, enabling significant efficiencies in the finance and revenue cycle departments. The ability to execute on administrative tasks in a few ...

Imagine a world where serious health issues are predicted before they happen, where technology quietly monitors vital signals ...

With data-driven solutions available through AI and analytics, agencies can determine inequities stemming from gaps in care ...

With a growing workforce shortage, particularly among physicians, the tension over who is providing what care may be eased by ...

It's time for us to rethink what health insurance looks like in the U.S. I remember a time when having a commercial health plan meant my basic health care needs ... Getty Images For the average ...

Integrating electronic health care predictive analytics (e-HPA) into the clinical work flow, testing e-HPA in a patient population, and subsequently disseminating e-HPA across US health care ...

For me, and for many other people, the answer is more often that we’d care to admit ... In what Skin Analytics are calling a “watershed moment” for AI in health, this makes DERM the world ...

Experts highlighted the potential of artificial intelligence (AI) and predictive analytics to address key health care challenges during a panel discussion at the Council for Affordable Quality ...

Machine learning models, such as neural networks and deep learning, are utilized for tasks like recognizing cancerous lesions in radiology images ... both patient care and operational efficiency. The ...

Abstract: The application of big data analytics is a crucial component of research that strives to improve the quality of care that is offered to patients as well as the delivery of healthcare ...